On-Demand Data Transfers | Smooth Remote High-speed transfer of data - 3rd Podcast with Ron Trompert from CS3MESH4EOSC and SURF
CS3MESH4EOSC is kicking off its 3rd Podcast episode: “On-Demand Data Transfers | Smooth Remote High-speed transfer of data”. This episode is focused on the “On-Demand Data Transfer”, one of the main categories of services of the Science Mesh.
CS3MESH4EOSC at the first International Conference on FAIR Digital Objects - FDO2022
CS3MESH4EOSC joined the first International Conference on FAIR Digital Objects (FDO2022) in October as Juri Hößelbarth, Software Developer at WWU Münster and Work Task Leader in CS3MESH4EOSC presented a poster titled “The use of FDOs for a democratised approach to FAIRness”.
The CS3-based technologies in the ScienceMesh: Interview with Hugo Gonzalez Labrador (CERN)
InterviewWe had a chat with Hugo Gonzalez, Technical Work Package Leader in CS3MESh4EOSC, to understand better his role in the project, the chosen technology the consortium is working on and the improvements planned for the best result.
Bringing big science experiment data to the researchers’ fingertips
The CS3MESH4EOSC collaboration with ESCAPE project was listed as one of the EOSC Future use-cases showing the value of the European Open Science Cloud (EOSC) for research. The cases are named “EOSC in practice stories” and highlight how EOSC resources (i.e.
Supporting Data Repositories to boost data FAIRification
ScienceMesh is an interoperable mesh of collaborative data stores with connected research data services. It is under development through the CS3MESH4EOSC project, and once delivered will support flexible and accurate sharing of research data from early stages of the data lifecycle.
The Science Mesh – Global Platform for Scientific Collaboration
From the 24th to the 28th of January 2022, the CS3MESH4EOSC project, in collaboration with cs3community.org, organised the second edition of the Science Mesh workshop co-located at the CS3 Conference 2022.
LOFAR featured in CNN Space & Science
The Low Frequency Array (LOFAR) telescope, which is also one of the CS3MESH4EOSC use-cases under "On demand-data transfer services" from Science Mesh, was featured in CNN Space and Science section.
CS3MESH4EOSC partners’ members selected to shape the EOSC implementation through EOSC Task Forces
CS3MEH4EOSC will support the next phase of shaping the EOSC, revolutionising how science is done in Europe as members from six CS3MESH4EOSC partners were selected to join several European Open Science Cloud Task Forces.
Data Science Environments, What is it and what are the Main Benefits? – 2nd Podcast with Marcin Sieprawski from CS3MESH4EOSC and Software Mind
CS3MESH4EOSC is kicking off its 2nd Podcast episode: “Data Science Environment - What is it and what are the main benefits?” This episode is focused on the Data Science Environments, a data service that will be integrated in the Mesh the main assets of the CS3MESH4EOSC project.
